Fairness in Influence Maximization through Randomization. Becker, R., D'Angelo, G., Ghobadi, S., & Gilbert, H. In Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, February 2-9, 2021, pages 14684–14692, 2021. ![Fairness in Influence Maximization through Randomization [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper bibtex 1 download @inproceedings{DBLP:conf/aaai/BeckerDGG21,
author = {Ruben Becker and Gianlorenzo D'Angelo and Sajjad Ghobadi and Hugo Gilbert},
bibsource = {dblp computer science bibliography, https://dblp.org},
biburl = {https://dblp.org/rec/conf/aaai/BeckerDGG21.bib},
booktitle = {Thirty-Fifth {AAAI} Conference on Artificial Intelligence, {AAAI} 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, {IAAI} 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, {EAAI} 2021, Virtual Event, February 2-9, 2021},
crossref = {DBLP:conf/aaai/2021},
date-added = {2021-07-16 17:02:45 +0200},
date-modified = {2021-07-16 17:02:45 +0200},
pages = {14684--14692},
timestamp = {Mon, 07 Jun 2021 11:46:04 +0200},
title = {Fairness in Influence Maximization through Randomization},
url = {https://ojs.aaai.org/index.php/AAAI/article/view/17725},
year = {2021},
Bdsk-Url-1 = {https://ojs.aaai.org/index.php/AAAI/article/view/17725}}
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